Joël Pothier

802 citations
29 papers · 586 · h-index 14

Impact in

    • Antibiotic Resistance in Bacteria
    • Protein Structure and Dynamics
    • RNA and protein synthesis mechanisms
    • Genomics and Phylogenetic Studies
    • Machine Learning in Bioinformatics
    • Gut microbiota and health

Papers in

    • Protein Structure and Dynamics 11
    • Genomics and Phylogenetic Studies 5
    • Machine Learning in Bioinformatics 4
    • Microbial Metabolic Engineering and Bioproduction 4
    • Glycosylation and Glycoproteins Research 4
    • Chemical Synthesis and Analysis 3
    • Gut microbiota and health 3
    • Enzyme Structure and Function 6

Joël Pothier

28 papers receiving 570 citations

Peers

Joël Pothier
Comparison fields: 5 of 104
  • Molecular Medicine 52
  • Molecular Biology 440
  • Endocrinology 22
  • Materials Chemistry 132
  • Computational Theory and Mathematics 43
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Nathan Mih United States
Parit Bansal Switzerland
Shimon Bershtein Israel
Coen C. van der Weijden Netherlands
Jacob Bobonis Germany
Audrey Boniface France
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Sveta Sedelnikova United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Joël Pothier

Since Specialization
Citations

This map shows the geographic impact of Joël Pothier's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Joël Pothier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joël Pothier more than expected).

Fields of papers citing papers by Joël Pothier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joël Pothier. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Joël Pothier. The network helps show where Joël Pothier may publish in the future.

Co-authors

The 25 scholars most cited alongside Joël Pothier, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Joël Pothier Line = papers co-authored together Joël Pothier links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199781
2 200578
3 201958
4 200555
5 200845
6 201838
7 200231
8 200528
9 199119
10 202217
11 200917
12 199817
13 199715
14 201214
15 198912
16 202111
17 199111
18 20167
19 20096
20 19936

About Joël Pothier

Joël Pothier is a scholar working on Molecular Biology, Materials Chemistry, Artificial Intelligence, Molecular Medicine and Genetics, having authored 29 papers that have together received 586 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (11 papers), Enzyme Structure and Function (6 papers), Genomics and Phylogenetic Studies (5 papers), Machine Learning in Bioinformatics (4 papers), Microbial Metabolic Engineering and Bioproduction (4 papers), Glycosylation and Glycoproteins Research (4 papers), Chemical Synthesis and Analysis (3 papers) and Gut microbiota and health (3 papers). The work is most often cited by research in Molecular Medicine (52 citations), Molecular Biology (440 citations), Endocrinology (22 citations), Materials Chemistry (132 citations) and Computational Theory and Mathematics (43 citations). Joël Pothier has collaborated with scholars based in France, Portugal and United States. Frequent co-authors include Teresa Nogueira, Anne‐Laure Abraham, Eduardo P. C. Rocha, Jean‐Paul Mornon, Gilles Labesse, Francisco Dionísio, Sophie Brouillet, Alain Viari, Henry Soldano and Antoine Marin. Their work appears in journals such as Proteins Structure Function and Bioinformatics, Bioinformatics, BMC Bioinformatics, Antibiotics and Journal of Computational Biology.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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